Another task recently tackled in literature, again related to the COVID-19 pandemic, is face mask detection. For example, authors [1]} present an edge computing-based mask identification framework (ECMask). It consists of three main stages: video restoration, face detection (inspired by FaceBoxes [2]}), and mask identification (based on Mobilenet-V2 [3]}). dl models were trained and evaluated on the Bus Drive Monitoring Dataset, which unfortunately is not publicly available. Authors in [4]} developed a deep learning-based computer vision system able to perform face mask detection but also face-hand interaction detection. A more comprehensive literature review of applications of ai in battling against COVID-19 is given in [5]} including social distancing and face mask detection.
